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Utilizza l'SDK Vertex AI per Python per creare e gestire le esecuzioni dell'esperimento. Puoi utilizzare la console Google Cloud per eliminare le esecuzioni degli esperimenti.
Nella console Google Cloud , vai alla pagina Esperimenti. Vai a Esperimenti
Nella pagina dei dettagli dell'esperimento, fai clic sul nome dell'esperimento
associato all'esecuzione dell'esperimento che vuoi eliminare. Viene visualizzata la pagina
Esecuzioni dell'esperimento
con l'elenco di tutte le esecuzioni dell'esperimento.
Seleziona la casella di controllo associata all'esecuzione che vuoi eliminare.
Viene visualizzato il pulsante Elimina.
Fai clic su Elimina
In alternativa, puoi andare al menu delle opzioni more_vert nella stessa riga dell'esecuzione dell'esperimento e selezionare Elimina.
Visualizza l'elenco delle esecuzioni degli esperimenti e i relativi dettagli
La console Google Cloud fornisce una visualizzazione dei dati
associati a queste corse.
[[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Difficile da capire","hardToUnderstand","thumb-down"],["Informazioni o codice di esempio errati","incorrectInformationOrSampleCode","thumb-down"],["Mancano le informazioni o gli esempi di cui ho bisogno","missingTheInformationSamplesINeed","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-09-04 UTC."],[],[],null,["# Create and manage experiment runs\n\nUse the Vertex AI SDK for Python to create and manage your\nexperiment runs. You can use the Google Cloud console to delete experiment runs. \n\n### Vertex AI SDK for Python\n\nThe following samples use the methods [`init`](/python/docs/reference/aiplatform/latest/google.cloud.aiplatform#google_cloud_aiplatform_init),\n[`start_run`](/python/docs/reference/aiplatform/latest/google.cloud.aiplatform#google_cloud_aiplatform_start_run),\nand [`end_run`](/python/docs/reference/aiplatform/latest/google.cloud.aiplatform#google_cloud_aiplatform_end_run) from the `aiplatform` [Package\nfunctions](/python/docs/reference/aiplatform/latest/google.cloud.aiplatform#functions), and [`delete`](/python/docs/reference/aiplatform/latest/google.cloud.aiplatform.ExperimentRun#google_cloud_aiplatform_ExperimentRun_delete)\nfrom the [`ExperimentClass`](/python/docs/reference/aiplatform/latest/google.cloud.aiplatform.ExperimentRun). \n\n### Create and start run\n\n### Python\n\n from typing import Optional, Union\n\n from google.cloud import aiplatform\n\n\n def create_experiment_run_sample(\n experiment_name: str,\n run_name: str,\n experiment_run_tensorboard: Optional[Union[str, aiplatform.Tensorboard]],\n project: str,\n location: str,\n ):\n aiplatform.init(experiment=experiment_name, project=project, location=location)\n\n aiplatform.start_run(run=run_name, tensorboard=experiment_run_tensorboard)\n\n- `experiment_name`: Provide the name of your experiment. You can find your list of experiments in the Google Cloud console by selecting \"Experiments\" in the section nav.\n- `run_name`: Specify a run name to associate with your current session. See [`start_run`](https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform#google_cloud_aiplatform_start_run) in the Vertex AI SDK reference documentation.\n- `experiment_run_tensorboard`: Optional. A backing TensorBoard resource to enable and store time series metrics logged to this experiment run using [`log_time_series_metrics`](https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform#google_cloud_aiplatform_log_time_series_metrics).\n- `project`: . You can find these IDs in the Google Cloud console [welcome](https://console.cloud.google.com/welcome) page.\n- `location`: See [List of available locations](/vertex-ai/docs/general/locations)\n\n### End run\n\n### Python\n\n from google.cloud import aiplatform\n\n\n def end_experiment_run_sample(\n experiment_name: str,\n run_name: str,\n project: str,\n location: str,\n ):\n aiplatform.init(experiment=experiment_name, project=project, location=location)\n\n aiplatform.start_run(run=run_name, resume=True)\n\n aiplatform.end_run()\n\n- `experiment_name`: Provide the name of your experiment. You can find your list of experiments in the Google Cloud console by selecting \"Experiments\" in the section nav.\n- `run_name`: Specify a run name.\n- `project`: . You can find these in the Google Cloud console [welcome](https://console.cloud.google.com/welcome) page.\n- `location`: See [List of\n available locations](/vertex-ai/docs/general/locations)\n\n### Resume run\n\n### Python\n\n from google.cloud import aiplatform\n\n\n def resume_experiment_run_sample(\n experiment_name: str,\n run_name: str,\n project: str,\n location: str,\n ):\n aiplatform.init(experiment=experiment_name, project=project, location=location)\n\n aiplatform.start_run(run=run_name, resume=True)\n\n- `experiment_name`: Provide the name of your experiment. You can find your list of experiments in the Google Cloud console by selecting \"Experiments\" in the section nav.\n- `run_name`: Specify name of run that you want to resume.\n- `project`: . You can find these in the Google Cloud console [welcome](https://console.cloud.google.com/welcome) page.\n- `location`: See [List of\n available locations](/vertex-ai/docs/general/locations)\n\n### Delete run\n\n### Python\n\n from typing import Union\n\n from google.cloud import aiplatform\n\n\n def delete_experiment_run_sample(\n run_name: str,\n experiment: Union[str, aiplatform.Experiment],\n project: str,\n location: str,\n delete_backing_tensorboard_run: bool = False,\n ):\n experiment_run = aiplatform.ExperimentRun(\n run_name=run_name, experiment=experiment, project=project, location=location\n )\n\n experiment_run.delete(delete_backing_tensorboard_run=delete_backing_tensorboard_run)\n\n- `experiment`: The name or instance of this experiment. You can find your list of experiments in the Google Cloud console by selecting \"Experiments\" in the section nav.\n- `run_name`: Specify name of run that you want to delete.\n- `project`: . You can find these in the Google Cloud console [welcome](https://console.cloud.google.com/welcome) page.\n- `location`: See [List of\n available locations](/vertex-ai/docs/general/locations)\n- `delete_backing_tensorboard_run`: Whether to delete the backing Vertex AI TensorBoard run that stores time series metrics for this run.\n\n### Manage status\n\n### Python\n\n from typing import Union\n\n from google.cloud import aiplatform\n\n\n def update_experiment_run_state_sample(\n run_name: str,\n experiment: Union[str, aiplatform.Experiment],\n project: str,\n location: str,\n state: aiplatform.gapic.Execution.State,\n ) -\u003e None:\n experiment_run = aiplatform.ExperimentRun(\n run_name=run_name,\n experiment=experiment,\n project=project,\n location=location,\n )\n\n experiment_run.update_state(state)\n\n- `run_name`: run name associated with your experiment\n- `experiment_name`: name of your experiment. You can find your list of experiments in the Google Cloud console by selecting **Experiments** in the section nav.\n- `project`: . You can find these Project IDs in the Google Cloud console [welcome](https://console.cloud.google.com/welcome) page.\n- `location`: See [List of available locations](/vertex-ai/docs/general/locations)\n- `state`: Possible values for `state`, which shows up as \"status\" in the Google Cloud console, are:\n - `aiplatform.gapic.Execution.State.CACHED`\n - `aiplatform.gapic.Execution.State.CANCELLED`\n - `aiplatform.gapic.Execution.State.COMPLETE`\n - `aiplatform.gapic.Execution.State.FAILED`\n - `aiplatform.gapic.Execution.State.NEW`\n - `aiplatform.gapic.Execution.State.RUNNING`\n\n### Google Cloud console\n\nFollow these steps to delete an .\n\n1. In the Google Cloud console, go to the **Experiments** page. \n [Go to Experiments](https://console.cloud.google.com/vertex-ai/experiments)\n2. In the experiment details page, click the name of the experiment that is associated with the experiment run you want to delete. The **Experiment runs** page appears with the list of all the experiment runs for that experiment.\n3. Select the checkbox associated with the run that you want to delete. The **Delete** button appears.\n4. Click **Delete**\n - Alternatively, you can go to the more_vert options menu that's in the same row as the experiment run and select **delete**.\n\nView list of experiment runs and run details\n--------------------------------------------\n\nThe Google Cloud console provides a visualization of the data\nassociated with these runs.\n\n- [View experiment run data](/vertex-ai/docs/experiments/compare-analyze-runs#view-experiment-run-data)\n- [Compare experiment runs](/vertex-ai/docs/experiments/compare-analyze-runs#compare-experiment-runs)\n\nWhat's next\n-----------\n\n- [Add pipeline run to an experiment or experiment run](/vertex-ai/docs/experiments/add-pipelinerun-experiment)"]]
